Learnable axonal delay in spiking neural networks improves spoken word recognition

Spiking neural networks (SNNs), which are composed of biologically plausible spiking neurons, and combined with bio-physically realistic auditory periphery models, offer a means to explore and understand human auditory processing-especially in tasks where precise timing is essential. However, becaus...

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Detalles Bibliográficos
Autores principales: Sun, Pengfei, Chua, Yansong, Devos, Paul, Botteldooren, Dick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665570/
https://www.ncbi.nlm.nih.gov/pubmed/38027508
http://dx.doi.org/10.3389/fnins.2023.1275944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665570/
https://www.ncbi.nlm.nih.gov/pubmed/38027508
http://dx.doi.org/10.3389/fnins.2023.1275944

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